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Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study

Lerendegui-Marco, J. and Cortés-Giraldo, M. A. and Guerrero, C. and Quesada, J. M. and Meo, S. L. and Massimi, C. and Barbagallo, M. and Colonna, N. and Mancussi, D. and Mingrone, F. and Sabaté-Gilarte, M. and Vannini, G. and Vlachoudis, V. and Aberle, O. and Andrzejewski, J. and Audouin, L. and Bacak, M. and Balibrea, J. and Bečvář, F. and Berthoumieux, E. and Billowes, J. and Bosnar, D. and Brown, A. and Caamaño, M. and Calviño, F. and Calviani, M. and Cano-Ott, D. and Cardella, R. and Casanovas, A. and Cerutti, F. and Chen, Y. H. and Chiaveri, E. and Cortés, G. and Cosentino, L. and Damone, L. A. and Diakaki, M. and Domingo-Pardo, C. and Dressler, R. and Dupont, E. and Durán, I. and Fernández-Domínguez, B. and Ferrari, A. and Ferreira, P. and Finocchiaro, P. and Göbel, K. and Gómez-Hornillos, M. B. and García, A. R. and Gawlik, A. and Gilardoni, S. and Glodariu, T. and Gonçalves, I. F. and González, E. and Griesmayer, E. and Gunsing, F. and Harada, H. and Heinitz, S. and Heyse, J. and Jenkins, D. G. and Jericha, E. and Käppeler, F. and Kadi, Y. and Kalamara, A. and Kavrigin, P. and Kimura, A. and Kivel, N. and Kokkoris, M. and Krtička, M. and Kurtulgil, D. and Leal-Cidoncha, E. and Lederer, C. and Leeb, H. and Lonsdale, S. J. and Macina, D. and Marganiec, J. and Martínez, T. and Masi, A. and Mastinu, P. and Mastromarco, M. and Maugeri, E. A. and Mazzone, A. and Mendoza, E. and Mengoni, A. and Milazzo, P. M. and Musumarra, A. and Negret, A. and Nolte, R. and Oprea, A. and Patronis, N. and Pavlik, A. and Perkowski, J. and Porras, I. and Praena, J. and Radeck, D. and Rauscher, T. and Reifarth, R. and Rout, P. C. and Rubbia, C. and Ryan, J. A. and Saxena, A. and Schillebeeckx, P. and Schumann, D. and Smith, A. G. and Sosnin, N. V. and Stamatopoulos, A. and Tagliente, G. and Tain, J. L. and Tarifeño-Saldivia, A. and Tassan-Got, L. and Valenta, S. and Variale, V. and Vaz, P. and Ventura, A. and Vlastou, R. and Wallner, A. and Warren, S. and Woods, P. J. and Wright, T. and Žugec, P.. (2017) Monte carlo simulations of the n_TOF lead spallation target with the Geant4 toolkit: A benchmark study. In: EPJ Web of Conferences, 146. p. 4.

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Abstract

Monte Carlo (MC) simulations are an essential tool to determine fundamental features of a neutron beam, such as the neutron flux or the γ-ray background, that sometimes can not be measured or at least not in every position or energy range. Until recently, the most widely used MC codes in this field had been MCNPX and FLUKA. However, the Geant4 toolkit has also become a competitive code for the transport of neutrons after the development of the native Geant4 format for neutron data libraries, G4NDL. In this context, we present the Geant4 simulations of the neutron spallation target of the n_TOF facility at CERN, done with version 10.1.1 of the toolkit. The first goal was the validation of the intra-nuclear cascade models implemented in the code using, as benchmark, the characteristics of the neutron beam measured at the first experimental area (EAR1), especially the neutron flux and energy distribution, and the time distribution of neutrons of equal kinetic energy, the so-called Resolution Function. The second goal was the development of a Monte Carlo tool aimed to provide useful calculations for both the analysis and planning of the upcoming measurements at the new experimental area (EAR2) of the facility.
Faculties and Departments:05 Faculty of Science > Departement Physik > Former Organization Units Physics > Theoretische Physik Astrophysik (Thielemann)
UniBasel Contributors:Rauscher, Thomas
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:EDP Sciences
e-ISSN:2100-014X
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
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edoc DOI:
Last Modified:31 Jan 2018 14:30
Deposited On:31 Jan 2018 14:30

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